BIOS 667: Applied Longitudinal Data Analysis

Course materials for BIOS 667 at the UNC Gillings School of Global Public Health, based on Fitzmaurice, Laird & Ware (2011), Applied Longitudinal Analysis (2nd ed.).

Course information

Department of Biostatistics, UNC Chapel Hill.

To work with the source files, clone the course repository and open it in RStudio (or any Quarto-aware editor). Install the R packages once with Rscript 2026/setup.R; see the repository README.md for setup details.

Schedule and materials

Lecture links open the rendered slides (RevealJS). Homework links open the rendered prompt to read; the (qmd) link next to each opens the source on GitHub - use the “Download raw file” button to get the .qmd, fill in your answers, and render it. Quizzes are given in class on paper and are not posted here.

Module	Ch.	Lecture	HW	Quiz
1. Foundations	1	L01 Introduction to longitudinal data
	2	L02 Basic concepts
	3	L03 Overview of linear models	HW1 (qmd)	Quiz 1 (in class)
2. The mean model	4	L04 Estimation and inference
	5	L05 Response profiles
	6	L06 Parametric curves	HW2 (qmd)	Quiz 2 (in class)
3. The covariance model	7	L07 Modeling the covariance
	8	L08 Linear mixed-effects models
	9	L09 Fixed vs random effects	HW3 (qmd)	Quiz 3 (in class)
4. Discrete responses	10	L10 Residual analyses and diagnostics
	11	L11 Generalized linear models
	12	L12 Marginal models
	13	L13 GEE extensions	HW4 (qmd)	Quiz 4 (in class)
5. Mixed models for discrete data	14	L14 Generalized linear mixed models
	14	L15 GLMM random slopes
	16	L16 Contrasting marginal and mixed models	HW5 (qmd)	Quiz 5 (in class)
6. Missing data and transitions	17	L17 Missing data and dropout
	18	L18 Multiple imputation and weighting
	*	L19 Transition (Markov) models	HW6 (qmd)	Quiz 6 (in class)

* L19 (transition models) is an instructor topic; transition models are FLW 1st-edition Ch. 10, not a 2nd-edition chapter.

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